Triple
T21039602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Silva |
E518284
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Code of Silence |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Code of Silence | Statement: [Henry Silva, notableWork, Code of Silence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Code of Silence Context triple: [Henry Silva, notableWork, Code of Silence]
-
A.
Code of Silence
chosen
Code of Silence is a 1985 American action crime film starring Chuck Norris as a tough Chicago cop battling corruption and gang violence.
-
B.
Sworn to Silence
Sworn to Silence is a 1987 television crime drama film in which Dabney Coleman delivered an acclaimed performance that earned him an award.
-
C.
Witness in the Dark
Witness in the Dark is a 1959 British crime thriller film about a blind woman who becomes the target of a killer after overhearing a murder.
-
D.
Shadow Black
Shadow Black is a dark, sleek color finish offered as one of the style options for the Sonos Move portable smart speaker.
-
E.
Table of Silence
Table of Silence is a modernist stone sculpture by Constantin Brâncuși, created as part of a memorial ensemble in Târgu Jiu, Romania, to honor those who died in World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:14 p.m.